Software Development Engineer II - Brand Catalog & ML

Amazon Inc.; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon.com Services LLC in Seattle is seeking a Software Development Engineer for the Universal Brand Catalog (UBC) team. You will design and own large-scale data systems, ML-powered services, and self-serve tools to help brand recruitment teams identify missing brands and optimize brand placement across Amazon marketplaces.

You will lead end-to-end features, collaborate with scientists and product managers, and influence architectural decisions from day one.

Qualifications

• 3+ years of non-internship professional software development experience.
• Experience designing and architecting scalable, reliable systems.
• Experience with multi-threaded or distributed software.
• Proficient in OO design and at least one programming language.
• Bachelor's degree in CS, engineering, mathematics, or related field.

Responsibilities

• Design, build, and operate scalable data pipelines and services.
• Own features end to end—from requirements to deployment.
• Collaborate with scientists to productionize ML models and measure data quality.
• Turn business problems into concrete technical plans and enable self-serve data tools.
• Mentor engineers and drive operational improvements and on-call health.

Skills

3+ years of professional software de

2+ years of design or architecture

1+ years of software development

1+ years of designing large-scale apps

1+ years of Object Oriented Design

Experience programming language

Education

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Bachelor's degree in computer science or equivalent

Job description

Amazon.com Services LLC in Seattle is seeking a Software Development Engineer for the Universal Brand Catalog (UBC) team. You will design and own large-scale data systems, ML-powered services, and self-serve tools to help brand recruitment teams identify missing brands and optimize brand placement across Amazon marketplaces.

You will lead end-to-end features, collaborate with scientists and product managers, and influence architectural decisions from day one.